How to build an AI roadmap your board will actually approve
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Every leadership team we meet feels the pressure to "do something with AI." The ones that succeed resist the urge to start with a tool and instead start with a question: where does AI create the most value in our business, and how do we prove it quickly?
1. Start from the P&L, not the model
List the processes that consume the most time or cost. For each, ask whether the work is repetitive, language-heavy, or judgement-light. Those are your best early AI candidates — and they map directly to numbers your board already cares about.
2. Score opportunities on value and readiness
Plot each opportunity on two axes: potential value and data readiness. The top-right quadrant — high value, data already available — is where your first pilot should live. Everything else becomes a sequenced backlog.
3. Commit to a time-boxed pilot
Pick one opportunity and prove it in weeks, not quarters, against a single success metric. A working pilot on real data does more to win support than any slide deck.
4. Plan the path to scale up front
Before you build, agree how a successful pilot will be integrated, governed, and operated. Boards approve roadmaps that show not just a clever demo, but a credible route to production and ROI.
